With the world’s supply chain system in crisis, it’s clear that better solutions are needed. Digital twins built on knowledge graph technology allow you to achieve an end-to-end view of the process, supporting real-time monitoring of critical assets.
Definition of Digital Twin, how does it work, what's the origin, what the use case of the digital twin in industries, what's the relationship between JSON-LD and RDFs. What is the current market for digital twins and what are the available tools in the market to create a digital twin? Does digital twin only works with JSON-LD or does it works as well with RDF?
Northern Gas Networks and CKDelta at Neo4j GraphSummit London 14Nov23.pptxNeo4j
Presented by Northern Gas Networks and CK Delta at GraphSummit in London Nov 2023, on how they are using Neo4j graph database to increase operational efficiency in the gas network.
With the world’s supply chain system in crisis, it’s clear that better solutions are needed. Digital twins built on knowledge graph technology allow you to achieve an end-to-end view of the process, supporting real-time monitoring of critical assets.
Definition of Digital Twin, how does it work, what's the origin, what the use case of the digital twin in industries, what's the relationship between JSON-LD and RDFs. What is the current market for digital twins and what are the available tools in the market to create a digital twin? Does digital twin only works with JSON-LD or does it works as well with RDF?
Northern Gas Networks and CKDelta at Neo4j GraphSummit London 14Nov23.pptxNeo4j
Presented by Northern Gas Networks and CK Delta at GraphSummit in London Nov 2023, on how they are using Neo4j graph database to increase operational efficiency in the gas network.
A very basic look at the dative covalent bond. It is normally met at CAPE, but recently has been introduced to students in form three. It is that form three occurrence which really prompted this piece of work
Passo a Passo para implementar DataOps em projetos de Big DataEduardo Hahn
Cada vez mais participamos de projetos de Big Data onde a complexidade e a diversidade de dados são cada vez maiores. Ter segurança em todas as etapas do projeto até colocar e manter em produção são grandes desafios. Assim, as práticas de DataOps, soma de boas práticas de Agile e DevOps, auxiliam a melhor gerenciar, publicar e sustentar seu Big Data. Nesta palestra vamos conhecer o passo a passo para você implementar DataOps em seus projetos.
Agile Data Warehousing (DW)/Business Intelligence (BI): Addressing the Hard P...Scott W. Ambler
The world moves at a rapid pace, and your organization must be able to respond to changing conditions. Your DW/BI team is being asked to help end users answer new questions to gain new insights at an increasing pace. They need to become agile, but are struggling to do so.
This presentation addresses a series of difficult questions that DW/BI must have answers to if they are to learn how to work in a work in an agile manner:
• How can we proceed without modeling everything up front?
• What can we do when our users can’t tell us what data they need?
• How can we easily respond to changing requirements?
• How do we implement “vertical slices” of value?
• It takes weeks to analyze a legacy data source, how does that fit into a two-week sprint?
• How can we realistically deal with the quality problems of all the data sources that we work with, and usually aren’t responsible for?
• Our end users want updates in hours or days, how do we do that in two-week sprints?
• Is it realistic to evolve production data sources?
• How can we deliver new changes quickly into production?
• And more.
Organizations around the world have successfully adopted agile and lean ways of working (WoW) on the DW/BI teams. You can too.
Scott Ambler is available to present this to your organization.
A very basic look at the dative covalent bond. It is normally met at CAPE, but recently has been introduced to students in form three. It is that form three occurrence which really prompted this piece of work
Passo a Passo para implementar DataOps em projetos de Big DataEduardo Hahn
Cada vez mais participamos de projetos de Big Data onde a complexidade e a diversidade de dados são cada vez maiores. Ter segurança em todas as etapas do projeto até colocar e manter em produção são grandes desafios. Assim, as práticas de DataOps, soma de boas práticas de Agile e DevOps, auxiliam a melhor gerenciar, publicar e sustentar seu Big Data. Nesta palestra vamos conhecer o passo a passo para você implementar DataOps em seus projetos.
Agile Data Warehousing (DW)/Business Intelligence (BI): Addressing the Hard P...Scott W. Ambler
The world moves at a rapid pace, and your organization must be able to respond to changing conditions. Your DW/BI team is being asked to help end users answer new questions to gain new insights at an increasing pace. They need to become agile, but are struggling to do so.
This presentation addresses a series of difficult questions that DW/BI must have answers to if they are to learn how to work in a work in an agile manner:
• How can we proceed without modeling everything up front?
• What can we do when our users can’t tell us what data they need?
• How can we easily respond to changing requirements?
• How do we implement “vertical slices” of value?
• It takes weeks to analyze a legacy data source, how does that fit into a two-week sprint?
• How can we realistically deal with the quality problems of all the data sources that we work with, and usually aren’t responsible for?
• Our end users want updates in hours or days, how do we do that in two-week sprints?
• Is it realistic to evolve production data sources?
• How can we deliver new changes quickly into production?
• And more.
Organizations around the world have successfully adopted agile and lean ways of working (WoW) on the DW/BI teams. You can too.
Scott Ambler is available to present this to your organization.
4. Functionele <-> Niet-functionele
Requirements
• Functionele requirements
– Beschrijven wat het systeem moet doen
• Use cases
– + andere diagrammen en charts
• Niet-functionele requirements
– Algemene hindernissen voor een systeem
• Meer dan 1 use case
4 G6 - Niet-functionele requirements 3/12/2012
6. NFR: een uitdaging
• Moeilijk om te ontwerpen
• Moeilijk om meetbaar te maken
• Gedefinieerde NFR’s spreken elkaar
vaak tegen
– Voorbeeld:
• Performance <-> Veiligheid
6 G6 - Niet-functionele requirements 3/12/2012
7. NFR’s in de praktijk – verloop
• Requirementanalist
– Wekt belang op voor NFR’s
– Spilfiguur
• Brown Paper Sessions
Communitatie
7 G6 - Niet-functionele requirements 3/12/2012
8. NFR’s in de praktijk – DAMA
• IT experts
– Development
– IT
– Marketing
• Business solutions
• Projecten van enkele weken
8 G6 - Niet-functionele requirements 3/12/2012
